main.py

import lidario as lio
import rasterio
from rasterio.mask import mask
import numpy as np

# TODO:
# Translator return multiple data structure
# Object to retrieve only metadata
# Increase raster resolution

# dtm = rasterio.open("/media/becode/Elements/wallonia-ml/lidar/TIF Wallonie 2013-2014/DSM/DSM_BRABANT_WALLON/RELIEF_WALLONIE_MNS_2013_2014.tif")


if __name__ == '__main__':

    """
    reader = lio.MetadataReader("tif")
    metadata = reader.get_metadata("./tests/assets/1.tif")

    print(metadata)
        
    """
    #shape = [{'type': 'Polygon', 'coordinates': [[(182545.32672299084, 162803.11793349683), (182540.70250971318, 162801.0220066402), (182539.92463073373, 162803.0260931747), (182537.93350985483, 162802.24429725204), (182534.55473017017, 162809.74636963103), (182541.08707224843, 162812.70320118777), (182545.32672299084, 162803.11793349683)]]}]
    #mask_values = rasterio.mask.mask(dtm, shapes=shape, all_touched=True, crop=True)

    translator = lio.Translator("tif", "ply", metadata=False)
    result = translator.translate("./tests/assets/1.tif", "points_ascii", "ascii")

    print(result)